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Hands-On SAS for Data Analysis

You're reading from   Hands-On SAS for Data Analysis A practical guide to performing effective queries, data visualization, and reporting techniques

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Product type Paperback
Published in Sep 2019
Publisher Packt
ISBN-13 9781788839822
Length 346 pages
Edition 1st Edition
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Author (1):
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Harish Gulati Harish Gulati
Author Profile Icon Harish Gulati
Harish Gulati
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Table of Contents (17) Chapters Close

Preface 1. Section 1: SAS Basics
2. Introduction to SAS Programming FREE CHAPTER 3. Data Manipulation and Transformation 4. Section 2: Merging, Optimizing, and Descriptive Statistics
5. Combining, Indexing, Encryption, and Compression Techniques Simplified 6. Power of Statistics, Reporting, Transforming Procedures, and Functions 7. Section 3: Advanced Programming
8. Advanced Programming Techniques - SAS Macros 9. Powerful Functions, Options, and Automatic Variables Simplified 10. Section 4: SQL in SAS
11. Advanced Programming Techniques Using PROC SQL 12. Deep Dive into PROC SQL 13. Section 5: Data Visualization and Reporting
14. Data Visualization 15. Reporting and Output Delivery System 16. Other Books You May Enjoy

Merging

While an appreciation of different ways of combining datasets is necessary, the most important methodology in SAS is merging datasets. It is time to look at one-to-many and many-to-many merges. Along with these two types of merges, we will also look at the concept of BY MATCHING.

By Matching

For performing By Matching, we have the following information about the cost of living in two different datasets, A and B, at hand:

We want to join the two datasets together so that we have one wide dataset with 10 rows of observations for City and nine variables.

Let's use the same form of Merge that we used earlier when generating the output for Merging:

Data Cost_Living;
Merge A B;
Run;

We get the desired output in the following...

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